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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLVIII-4-2024
https://doi.org/10.5194/isprs-archives-XLVIII-4-2024-263-2024
© Author(s) 2024. This work is distributed under the Creative Commons Attribution 4.0 License.
21 Oct 2024
| 21 Oct 2024
Accuracy Assessment of Land Use Land Cover Classification Using Machine Learning Classifiers in Google Earth Engine; A Case Study of Jammu District
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The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
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